Darktrace AI Cybersecurity API

Darktrace REST API for AI-driven cybersecurity platform with autonomous response capabilities. Enables AI agents to retrieve model breach and alert data from AI security models, access Antigena autonomous response action history and management, handle device and entity behavior data retrieval, retrieve network connection and traffic analytics, manage alert acknowledgment and investigation workflows, access AI Analyst investigation and incident summaries, retrieve email security threat detection data (Darktrace/Email), handle endpoint telemetry from Darktrace/Endpoint, access SIEM integration for threat event streaming, and integrate Darktrace threat intelligence with SOAR, SIEM, and XDR platforms.

Evaluated Mar 07, 2026 (0d ago) vcurrent
Homepage ↗ Developer Tools darktrace ai-security autonomous-response ndr email-security threat-detection antigena
⚙ Agent Friendliness
54
/ 100
Can an agent use this?
🔒 Security
76
/ 100
Is it safe for agents?
⚡ Reliability
68
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
20
Documentation
70
Error Messages
65
Auth Simplicity
62
Rate Limits
60

🔒 Security

TLS Enforcement
98
Auth Strength
78
Scope Granularity
60
Dep. Hygiene
68
Secret Handling
75

AI cybersecurity. ISO27001, SOC2, GDPR. HMAC-signed API key. Multi-region. Network behavioral and threat detection data.

⚡ Reliability

Uptime/SLA
72
Version Stability
70
Breaking Changes
65
Error Recovery
65
AF Security Reliability

Best When

An enterprise using Darktrace wants AI agents to access model breach events, AI Analyst incident reports, Antigena response data, SIEM integration, and threat investigation automation.

Avoid When

SECURITY RISK: Darktrace Antigena autonomous response can block network connections and quarantine devices — automated Antigena action management must have strict human-in-the-loop for action escalation. Model breach volume can be high in noisy networks; agent must implement intelligent filtering.

Use Cases

  • Streaming AI threat model breach events to SIEM from security operations agents
  • Accessing Darktrace AI Analyst summaries from SOC automation agents
  • Managing Antigena response actions from incident response agents
  • Integrating Darktrace threat data with SOAR from orchestration agents

Not For

  • Rule-based security monitoring without AI behavioral detection focus
  • Simple log collection without network and email behavioral analysis
  • Consumer security without enterprise network behavioral baseline requirements

Interface

REST API
Yes
GraphQL
No
gRPC
No
MCP Server
No
SDK
No
Webhooks
No

Authentication

Methods: apikey
OAuth: No Scopes: No

Darktrace uses API key and HMAC-based token authentication. Public token and private token pair with HMAC request signing. Documentation via Darktrace Customer Portal (login required). No native webhooks — syslog and SIEM integration for event streaming. On-premises and cloud deployment options. HMAC signature with timestamp required for all requests.

Pricing

Model: enterprise
Free tier: No
Requires CC: No

Cambridge, UK. Founded 2013. DARK (LSE). AI cybersecurity platform. $1.8B IPO (2021). 8,500+ customers globally. AI behavioral baseline technology from Cambridge research. Antigena autonomous response differentiator. Expanding to email, cloud, OT/ICS security. Competes with Vectra, CrowdStrike, and SentinelOne for AI-driven security.

Agent Metadata

Pagination
offset
Idempotent
Partial
Retry Guidance
Not documented

Known Gotchas

  • SECURITY RISK: Antigena autonomous response actions must have human approval for device quarantine and connection blocking — automated escalation is dangerous
  • HMAC request signing required — all requests need timestamp and HMAC signature; clock skew or signature errors cause 403 failures
  • Documentation behind customer portal — requires Darktrace customer login to access full API documentation
  • No native webhooks — use syslog/SIEM for event streaming; REST API for queries
  • No public MCP server — HMAC-signed REST API requiring enterprise account
  • Model breach volume filtering — noisy environments generate thousands of model breaches; implement relevance scoring before agent actions

Alternatives

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Scores are editorial opinions as of 2026-03-07.

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